Literature DB >> 34070528

Improved Mutual Understanding for Human-Robot Collaboration: Combining Human-Aware Motion Planning with Haptic Feedback Devices for Communicating Planned Trajectory.

Stefan Grushko1, Aleš Vysocký1, Petr Oščádal1, Michal Vocetka1, Petr Novák1, Zdenko Bobovský1.   

Abstract

In a collaborative scenario, the communication between humans and robots is a fundamental aspect to achieve good efficiency and ergonomics in the task execution. A lot of research has been made related to enabling a robot system to understand and predict human behaviour, allowing the robot to adapt its motion to avoid collisions with human workers. Assuming the production task has a high degree of variability, the robot's movements can be difficult to predict, leading to a feeling of anxiety in the worker when the robot changes its trajectory and approaches since the worker has no information about the planned movement of the robot. Additionally, without information about the robot's movement, the human worker cannot effectively plan own activity without forcing the robot to constantly replan its movement. We propose a novel approach to communicating the robot's intentions to a human worker. The improvement to the collaboration is presented by introducing haptic feedback devices, whose task is to notify the human worker about the currently planned robot's trajectory and changes in its status. In order to verify the effectiveness of the developed human-machine interface in the conditions of a shared collaborative workspace, a user study was designed and conducted among 16 participants, whose objective was to accurately recognise the goal position of the robot during its movement. Data collected during the experiment included both objective and subjective parameters. Statistically significant results of the experiment indicated that all the participants could improve their task completion time by over 45% and generally were more subjectively satisfied when completing the task with equipped haptic feedback devices. The results also suggest the usefulness of the developed notification system since it improved users' awareness about the motion plan of the robot.

Entities:  

Keywords:  bidirectional awareness; haptic feedback device; human machine interface; human robot collaboration; human robot interaction; path planning

Mesh:

Year:  2021        PMID: 34070528     DOI: 10.3390/s21113673

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Distributed Camera Subsystem for Obstacle Detection.

Authors:  Petr Oščádal; Tomáš Spurný; Tomáš Kot; Stefan Grushko; Jiří Suder; Dominik Heczko; Petr Novák; Zdenko Bobovský
Journal:  Sensors (Basel)       Date:  2022-06-18       Impact factor: 3.847

2.  A Novel Collision-Free Homotopy Path Planning for Planar Robotic Arms.

Authors:  Gerardo C Velez-Lopez; Hector Vazquez-Leal; Luis Hernandez-Martinez; Arturo Sarmiento-Reyes; Gerardo Diaz-Arango; Jesus Huerta-Chua; Hector D Rico-Aniles; Victor M Jimenez-Fernandez
Journal:  Sensors (Basel)       Date:  2022-05-26       Impact factor: 3.847

3.  Human-Robot Collaboration in Industrial Automation: Sensors and Algorithms.

Authors:  Anne Schmitz
Journal:  Sensors (Basel)       Date:  2022-08-05       Impact factor: 3.847

  3 in total

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